Radiology Training Research Articles

Misdiagnosis in breast imaging: a statement paper from European Society Breast Imaging (EUSOBI)-Part 2: Main causes of errors in breast imaging and recommendations from European Society of Breast Imaging to limit misdiagnosis.

Breast cancer is one of the leading causes of negligence claims in radiology. The objective of this document is to describe the specific main causes of errors in breast imaging and provide European Society of Breast Imaging (EUSOBI) recommendations to try to minimize these. Technical failures represent 17% of all mammographic diagnostic negligence claims. Mammography quality control protocol and dedicated training for technologists and radiologists are essential. Lack of consideration of the clinical context is a second critical issue, as a clinical abnormality is found in 80% of malpractice claims. EUSOBI emphasizes the importance of communication and clinical examination before the diagnostic investigation. Detection errors or misapplications of the lexicon or Breast Imaging Reporting Data System (BI-RADS) score account for 5% of malpractice claims and should be reduced by limiting radiologists' distraction or fatigue, and being aware of satisfaction of search errors and the importance of a personal systematic review. Errors related to pathological concordance and MDT review can be limited by the use of markers after biopsy and the use of standardized reports, which can aid communication with other specialities. Finally, errors related to tumor or patient factors should be discussed, considering the use of contrast-enhanced mammography and magnetic resonance imaging. Several factors are responsible for misdiagnosis in breast cancer, including errors in the practice of the technician and/or radiologist (technical failures, lack of consideration of the clinical context, incorrect application of the BI-RADS score, false reassurances), lack of communication with other specialists or with the patient, and the type of tumor and breast parenchyma. Question What factors most contribute to and what implications stem from misdiagnosis in breast imaging? Findings Ongoing training and education for radiologists and other healthcare providers, as well as interdisciplinary collaboration and communication is paramount. Clinical relevance Misdiagnosis in breast imaging can have significant implications for patients, healthcare providers, and the entire healthcare system.

Misdiagnosis in breast imaging: a statement paper from European Society Breast Imaging (EUSOBI)-Part 1: The role of common errors in radiology in missed breast cancer and implications of misdiagnosis.

Misdiagnosis in breast imaging can have significant implications for patients, healthcare providers, and the healthcare system as a whole. Some of the potential implications of misdiagnosis in breast imaging include delayed diagnosis or false reassurance, which can result in a delay in treatment and potentially a worse prognosis. Misdiagnosis can also lead to unnecessary procedures, which can cause physical discomfort, anxiety, and emotional distress for patients, as well as increased healthcare costs. All these events can erode patient trust in the healthcare system and in individual healthcare providers. This can have negative implications for patient compliance with screening and treatment recommendations, as well as overall health outcomes. Moreover, misdiagnosis can also result in legal consequences for healthcare providers, including medical malpractice lawsuits and disciplinary action by licensing boards. To minimize the risk of misdiagnosis in breast imaging, it is important for healthcare providers to use appropriate imaging techniques and interpret images accurately and consistently. This requires ongoing training and education for radiologists and other healthcare providers, as well as collaboration and communication among healthcare providers to ensure that patients receive appropriate and timely care. If a misdiagnosis does occur, it is important for healthcare providers to communicate with patients and provide appropriate follow-up care to minimize the potential implications of the misdiagnosis. This may include repeat imaging, additional biopsies or other procedures, and referral to specialists for further evaluation and management. Question What factors most contribute to and what implications stem from misdiagnosis in breast imaging? Findings Ongoing training and education for radiologists and other healthcare providers, as well as interdisciplinary collaboration and communication, is paramount. Clinical relevance Misdiagnosis in breast imaging can have significant implications for patients, healthcare providers, and the entire healthcare system.

Scarcity of Women in Interventional Radiology in SubSaharan Africa: Survey and Insights

Purpose: Globally, women are underrepresented in Interventional Radiology (IR) and calls have been made to increase gender equity. In sub-Saharan Africa specifically, IR is a rapidly emerging field. However, concerns have been raised about the lack of women in IR in the region. The purpose of this study was to assess the state of women in IR in sub-Saharan Africa, with attention to their training experiences, and perceived barriers, to identify opportunities to increase gender equity. Methods: We distributed a survey to all identifiable female IR physicians and trainees in sub-Saharan Africa (SSA). The survey included questions on demographics, training experiences, barriers faced professionally, and suggestions for encouraging more women in Africa to pursue IR. Results: Eight women in IR in SSA were identified, six of whom responded to the survey (75% response rate). Commonly cited perceived barriers include lack of training opportunities, gender underrepresentation and societal expectations. Suggestions for increasing women's participation in IR can be increased by creating more training opportunities in Africa, including gender-specific opportunities, integrating IR into diagnostic radiology training programs, developing mentoring programs, and concerted efforts by professional societies to establish dedicated committees, scholarships and sponsorship of women. Conclusions: While interventional radiologists are few in SSA, gender disparities already exist. As increasing the number of IR physicians in low resource areas is essential to addressing health disparities, and women in IR frequently treat women's health conditions, including maternal mortality, building physician capacity in a gender-sensitive manner is essential.

Virtual Chest Radiographs Developed From Computed Tomography Images for Differentiating Central Venous Versus Misplaced Arterial Lines and for Training Radiologists

Objective Radiographic findings to identify central venous catheter misplacement in the arteries, which can cause lethal complications, have not been fully evaluated, and its training is difficult because it is rare. The purpose of this study is to clarify radiographic findings for differentiating central venous and misplaced arterial lines using virtual chest radiographs and elucidate their usefulness in training radiologists. Methods This retrospective study included 150 patients (mean age, 67 [SD, ±12] years; 97 men) who underwent colon cancer surgery between January 2018 and December 2020. Virtual chest radiographs, including 6 oblique projections at 5° intervals, were developed from the computed tomography images using ray-sum reconstruction. Virtual venous and arterial lines were drawn from the right neck to the superior vena cava and aorta, respectively. Diagnostic abilities, including area under the curve (AUC) analysis of the 7 proposed radiographic findings for differentiating these lines in 100 patients, were evaluated. The diagnostic performance, including AUC analysis by 5 radiologists in the other 50 patients, was compared before and after disclosing these results to the radiologists. Results The findings of crossing over the right paratracheal stripe and running along the paracaval line showed the highest AUC for indicating arterial and venous lines in the frontal, right anterior oblique 15°, and left anterior oblique 15° projections (AUC = 0.992, 0.991, and 0.979, and 1.000, 0.994, and 0.998, respectively). The diagnostic performance of the radiologists improved after informing them of these results (AUC, 0.982–0.999 to 0.993–1.000 [P = 0.145–1.000] for the frontal projections and 0.932–0.970 to 0.967–0.995 [P = 0.075–0.150] for the oblique projections). Conclusions Virtual chest radiographs created from computed tomography images were useful for clarifying radiographic findings for differentiating central venous and misplaced arterial lines and for training radiologists.

Enhancing Lung and Breast Cancer Screening with Advanced AI and Image Processing Techniques

This research investigates the application of CNNs for diagnostics improvements in lung and breast cancers based on AI image classification approaches. Using the datasets with 15,000 images describing lung cancer and 10,000 images describing cases of breast cancer, the models showed high performance: 90% for lung cancer and 99% for breast cancer classification. The descriptive analysis pointed out different features in imaging, such as dense tissue structure and irregular cell patterns; the models successfully identified these. The findings underlined the vital role that AI could play in assisting radiologists by delivering preliminary analysis, triaging high-risk cases, and leading to early cancer detection. Essential challenges were highlighted: ethical considerations concerning patients' privacy and AI algorithms' transparency. The limitation of the dataset diversity resulted in the conclusion that only broader data can ensure good generalization in various clinical settings. They recommended integrating the AI tool with clinical workflow and also called for training radiologists for effectiveness. Future research directions include real-time imaging and patient data integration for comprehensive diagnostic support and multi-modal approaches that combine imaging with genomics for more precise predictions. This leads to a more personalized cancer diagnosis and treatment plan, thus ultimately improving the results of the patients. This research, therefore, underlines the transformative capabilities of AI and image processing in modernizing cancer screening and diagnostics toward more accurate and efficient healthcare practices.

Position Paper of the German Society for Interventional Radiology and Minimally Invasive Therapy (DeGIR) and the German Roentgen Society (DRG) on Structural and Professional Requirements in Interventional Oncology.

Interventional oncology (IO) employs various techniques to enable minimally invasive, image-guided treatment of tumor diseases with both curative and palliative goals. Additionally, it significantly contributes to managing tumor-related and perioperative complications, offering diverse supportive procedures for patients at all stages of their diseases. The execution of IO procedures places unique demands on the equipment, personnel, and structural organization of radiological clinics, necessitating specific expertise from interventional radiologists.This position paper aims to comprehensively outline the multifaceted aspects of IO and discuss the requisite criteria for hospitals, radiological clinics, and interventional radiologists (IRs). Furthermore, it underscores overarching considerations of quality assurance that clinics and professional societies should prioritize.The requirements for hospitals, radiological clinics, and IRs are varied and demand not only a high level of proficiency in performing IO procedures but also in-depth knowledge of the differential therapy for various tumor diseases. This expertise is essential for effectively serving as clinical partners in the interdisciplinary treatment of oncologic patients. Additionally, a thorough understanding and safe handling of ionizing radiation technologies, along with proficiency in radiation protection methods, which are fundamental aspects of radiological specialist training, is crucial for ensuring the safety of IO procedures for both patients and staff. The Deutsche Gesellschaft für Interventionelle Radiologie und minimal-invasive Therapie (DeGIR) and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE) have long-established dedicated quality management programs, accrediting radiology clinics and certifying IRs. These initiatives aim to uphold the highest standards of care and meet the quality expectations set by politics in healthcare system, particularly in the realm of interventional radiology. · The various procedures in the field of interventional oncology (IO) are complex medical interventions that require not only the most advanced technical equipment but also adequate human resources, particularly specialized expertise in interventional radiology, diagnostic imaging, oncology, and radiation protection.. · This expertise is an integral part of the specialized medical training in radiology and is certified by professional societies such as the German Society for Interventional Radiology (DeGIR) and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE).. · Professional societies like DeGIR, CIRSE, and the American Society of Interventional Radiology (SIR) establish the necessary quality assurance framework for comprehensive, high-quality IO therapy through quality assurance (QA) registries, standard operating procedure (SOP) documents, and participation in guideline development.. · Currently, radiology is the only discipline that provides physicians with the theoretical and practical knowledge, skills, and competencies required to perform the demanding procedures in the field of IO through specialized training programs and tailored certification processes.. · Isfort P, Sommer CM, Bruners P et al. Position Paper of the German Society for Interventional Radiology and Minimally Invasive Therapy (DeGIR) and the German Roentgen Society (DRG) on Structural and Professional Requirements in Interventional Oncology. Fortschr Röntgenstr 2024; DOI 10.1055/a-2373-1013.

Quantification of pulmonary edema using automated lung segmentation on computed tomography in mechanically ventilated patients with acute respiratory distress syndrome

BackgroundQuantification of pulmonary edema in patients with acute respiratory distress syndrome (ARDS) by chest computed tomography (CT) scan has not been validated in routine diagnostics due to its complexity and time-consuming nature. Therefore, the single-indicator transpulmonary thermodilution (TPTD) technique to measure extravascular lung water (EVLW) has been used in the clinical setting. Advances in artificial intelligence (AI) have now enabled CT images of inhomogeneous lungs to be segmented automatically by an intensive care physician with no prior radiology training within a relatively short time. Nevertheless, there is a paucity of data validating the quantification of pulmonary edema using automated lung segmentation on CT compared with TPTD.MethodsA retrospective study (January 2016 to December 2021) analyzed patients with ARDS, admitted to the intensive care unit of the Department of Anesthesiology and Critical Care Medicine, University Hospital Mannheim, who underwent a chest CT scan and hemodynamic monitoring using TPTD at the same time. Pulmonary edema was estimated using manually and automated lung segmentation on CT and then compared to the pulmonary edema calculated from EVLW determined using TPTD.Results145 comparative measurements of pulmonary edema with TPTD and CT were included in the study. Estimating pulmonary edema using either automated lung segmentation on CT or TPTD showed a low bias overall (− 104 ml) but wide levels of agreement (upper: 936 ml, lower: − 1144 ml). In 13% of the analyzed CT scans, the agreement between the segmentation of the AI algorithm and a dedicated investigator was poor. Manual segmentation and automated segmentation adjusted for contrast agent did not improve the agreement levels.ConclusionsAutomated lung segmentation on CT can be considered an unbiased but imprecise measurement of pulmonary edema in mechanically ventilated patients with ARDS.

Influence of clinical experience in detecting calcifications of the head and neck region on panoramic radiographs: an app-based evaluation.

Digital panoramic radiographs (DPRs) are used in dental practice as the first diagnostic tool for the initial detection of head and neck regions soft-tissue calcifications. The aim of this study was to use a self-developed application (App) to evaluate the ability of dental students at different levels of training to examine known DPRs with different soft-tissue calcification. A total of known 100 DPRs with (n=50) and without (n=50) calcification were independently evaluated by four groups: preclinical, first clinical and last clinical dental students, and dentists with less than or equal to 1 year of professional experience in the same time (15min) and examination conditions. Unity software was used to develop the examination App, which allowed to mark areas with calcifications on the DPRs. The data were statistically analyzed between the groups (significance level: P<0.05) for every location, and the detection rate was calculated as a percentage of detected calcifications. Results revealed that the overall detection rate of calcifications in all groups was 29.17%. Dentists exhibited the highest detection rate (36.46%), followed by the last- (29.69%), first- (32.29%), and preclinical (15.10%) students. These findings suggest that clinical experience plays a role in the correct detection of soft-tissue calcifications in DPRs. However, deficiencies in radiological training during dental education may contribute to diagnostic errors. As these can become life-threatening risks, the results highlight the need for early training in the dental curriculum to improve diagnostic performance and minimize possible diagnostic errors.

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medical imaging professions. Generative artificial intelligence text-to-image production could reinforce or amplify gender biases. Methods: In March 2024, DALL-E 3 was utilized via GPT-4 to generate a series of individual and group images of medical imaging professionals: radiologist, nuclear medicine physician, radiographer, nuclear medicine technologist, medical physicist, radiopharmacist, and medical imaging nurse. Multiple iterations of images were generated using a variety of prompts. Collectively, 120 images were produced for evaluation of 524 characters. All images were independently analyzed by 3 expert reviewers from medical imaging professions for apparent gender and skin tone. Results: Collectively (individual and group images), 57.4% (n = 301) of medical imaging professionals were depicted as male, 42.4% (n = 222) as female, and 91.2% (n = 478) as having a light skin tone. The male gender representation was 65% for radiologists, 62% for nuclear medicine physicians, 52% for radiographers, 56% for nuclear medicine technologists, 62% for medical physicists, 53% for radiopharmacists, and 26% for medical imaging nurses. For all professions, this overrepresents men compared with women. There was no representation of persons with a disability. Conclusion: This evaluation reveals a significant overrepresentation of the male gender associated with generative artificial intelligence text-to-image production using DALL-E 3 across the medical imaging professions. Generated images have a disproportionately high representation of white men, which is not representative of the diversity of the medical imaging professions.

A 360-degree evaluation of the professionalism and communication skills of technologists working in the radiology department of a public sector tertiary care hospital in Karachi, Pakistan

BackgroundRadiologic technologists (RTs) are at the forefront of radiology departments and require optimal skills to demonstrate professionalism and effective provider–patient communication. Hence, the objective of this study was to determine the reliability of 360-degree evaluation as a feedback tool to improve competencies in this crucial workforce.MethodsA planned 360-degree evaluation was conducted using a 10-item tool to evaluate communication skills and professionalism among radiological technologists working at Dow University Hospital, Karachi. In total, 311 evaluations of fifteen radiological technologists were conducted while performing various diagnostic radiology procedures at the radiology department of Dow University Hospital. The data were analysed using SPSS version 26 to compute the evaluation scores and the reliability of 360-degree evaluation.ResultsA total of 311 RT-patient interactions were recorded over 48 days, with scores from all three raters. The evaluation tool was found to have good internal consistency for patients, faculty, and RT, with Cronbach’s alpha values of 0.89, 087, and 0.74, respectively. The study found an intraclass correlation of 0.66 (95% CI; 0.58–0.72), showing moderate reliability of the 360-degree evaluation across different raters.ConclusionWe conclude that 360-degree evaluation is a valid and reliable tool for determining the professionalism and communication skills of radiologic technologists and should be incorporated into training programs for formative and summative assessments. However, large-scale multicenter studies are crucial for generalizing these findings and incorporating 360 evaluations in radiological technologist training programs for formative and summative assessments.

Optimised treatment of patients with enlarged lateral lymph nodes in rectal cancer: protocol of an international, multicentre, prospective registration study after extensive multidisciplinary training (LaNoReC)

IntroductionInadequate treatment of enlarged lateral lymph nodes (LLNs) in rectal cancer patients is associated with an increased lateral local recurrence (LLR) risk, despite neoadjuvant treatment and total mesorectal excision (TME)...

A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.

This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each interpreting seven educational self-assessment test sets comprising 60 cases (40 normal and 20 cancer). The study only examined normal cases. Difficulty scores were computed based on the percentage of readers who incorrectly classified each case, leading to their classification as hardest- or easiest-to-interpret based on whether their difficulty scores fell within and above the 75th or within and below the 25th percentile, respectively (resulted in 140 cases in total used). Fifty-nine low-density and 81 high-density cases were identified. Thirty-four GMRFs were extracted for each case. A random forest machine learning model was trained to differentiate between hardest- and easiest-to-interpret normal cases and validated using leave-one-out-cross-validation approach. The model's performance was evaluated using the area under receiver operating characteristic curve (AUC). Significant features were identified through feature importance analysis. Difference between hardest- and easiest-to-interpret cases among 34 GMRFs and in difficulty level between low- and high-density cases was tested using Kruskal-Wallis. The model achieved AUC = 0.75 with cluster prominence and range emerging as the most useful features. Fifteen GMRFs differed significantly (p < 0.05) between hardest- and easiest-to-interpret cases. Difficulty level among low- vs high-density cases did not differ significantly (p = 0.12). GMRFs can predict hardest-to-interpret normal cases for RTs, underscoring the importance of GMRFs in identifying the most difficult normal cases for RTs and facilitating customised training programmes tailored to trainees' learning needs.

A Curricular Review of Radiology Education in a Master of Physician Assistant Studies Program.

Physician assistants/associates (PAs) are expected to be competent in ordering and interpreting diagnostic imaging. However, there are no further details outlining the educational expectations of PAs as it relates to radiology upon graduation. This can result in significant variability in the radiology curricula that PA students are taught and, consequently, hinder PAs' ability to work within their full scope of practice. Therefore, the purpose of this study was to map the radiology curriculum in a Master of Physician Assistant Studies (MPAS) program to elucidate radiological educational training before graduation. Quantitative curricular mapping was used to assess the 2021 to 2022 MPAS program for radiological involvement. Relevant course and session objectives related to radiology education were identified. In addition, educational learning material was reviewed for diagnostic imaging content. Formal radiological training was observed in 8 of 27 courses in the preclinical curriculum, with 4.35% of the total session objectives directed to radiological education. This formal exposure comprises 18.9 hours (1.71%) of curricular time. Informal diagnostic imaging exposure increased radiology education to approximately 29.5 hours (2.67%) of curricular time. One course (Diagnostic Imaging) focuses exclusively on radiology teaching and accounts for approximately 50% of the total radiologic teaching. X-ray ordering and interpretation received the greatest emphasis throughout the curriculum, while ultrasound received the least attention. Further integration of formal radiological education into PA programs should be considered with specific attention directed toward point-of-care ultrasound exposure and ordering/interpretation skills.

Micro-enema immediately prior to prostate MRI: effects on rectal gas, image quality and PI-QUAL score.

Our aim was to determine whether the administration of a micro-enema immediately prior to prostate MRI is associated with a reduction in rectal gas, gas related artifacts and an improvement in image quality and PI-QUAL score. This retrospective analysis enrolled 171 patients who underwent multiparametric 3T prostate MRI at our institution between January 2021 and September 2022. 86 patients received a micro-enema, and a further 85 patients did not. Two fellowship trained abdominal radiologists were blinded and independently reviewed each prostate MRI, recording scores on a dedicated scoring sheet. The quality of T2 weighted (T2W), diffusion weighted (DWI), and dynamic contrast enhancement (DCE) images were assessed according to standardised scales supported in the literature. In addition, gas related artifacts and rectal gas level were examined. An independent-samples Mann-Whitney U and t-test were performed, comparing both the median and mean score between micro-enema and no micro-enema groups for each reader. Spearman's correlation was used to determine the strength of relationship between variables. A quadratic weighted Cohen's Kappa and percent agreement were used to assess inter-observer agreement. Image quality was improved in those who received the micro-enema compared to those who did not according to the visual grading scale on the DWI sequence for both readers (reader 1: median 4 vs. 4, p < 0.001, mean 4.27 vs. 3.92, p < 0.001; reader 2: median 5 vs. 4, p < 0.001, mean 4.74 vs. 4.14, p < 0.001). PI-QUAL score was significantly improved in the micro-enema group for reader 2 only (reader 1: median 4 vs. 4, p = 0.25, mean 3.99 vs. 4.08, p = 0.21; reader 2: median 5 vs. 5, p = 0.01, mean 4.95 vs. 4.78, p = 0.01). Visual grading score for both the T2W and DCE images was not significantly different. Rectal gas level was lower in patients who received the micro-enema for both readers (reader 1: median 2 vs. 4, p < 0.001, mean 2.12 vs. 3.60, p < 0.001; reader 2: median 1 vs. 2, p < 0.001, mean 1.37 vs. 2.48, p < 0.001), correlating with a lower score for gas-related artifacts (reader 1: median 1 vs. 2, p < 0.001, mean 1.50 vs. 1.92, p < 0.001; reader 2: median 1 vs. 1, p < 0.001, mean 1.16 vs. 1.71, p < 0.001) in this group. Correlation between rectal gas level and gas-related artifacts on DWI regardless of whether a micro-enema was given was strong (rs = 0.71, p < 0.001). Correlation was moderate to strong between rectal gas level and image quality on DWI (rs = -0.63, p < 0.001). There was only 1 (1.2%) borderline diagnostic or non-diagnostic DWI sequence in those who received the micro-enema, compared to 9 (10.6%) in those who did not (p = 0.009). Interobserver agreement was moderate for image quality on DWI, gas related artifacts and rectal gas level (weighted kappa values of 0.52, 0.49 and 0.53 respectively). The administration of a micro-enema immediately prior to prostate MRI is associated with a significant improvement in image quality on the DWI sequence compared to no bowel preparation. This is mediated through a reduction in rectal gas and gas related artifacts. Improvements in PI-QUAL score was mixed between readers.

Annual Training Program in Radiological Protection in a Radiotherapy Service – A Case Study

The safety and radiological protection in radiotherapy services are essential to ensure the safe use of ionizing radiation for the benefit of patients and involved professionals. Evaluative research on multidisciplinary teams regarding annual training in radiological protection in radiotherapy is scarce. It is crucial to understand how professionals from each area assess the acquired knowledge and apply theoretical precepts in the radiotherapy service. This study aimed to analyze the annual radiological protection training offered in a radiotherapy service, and as specific objectives, to map the knowledge of professionals from each area regarding radiological protection applied during training. This is a qualitative research of the case study type. Data collection occurred through semi-structured interviews, simple observation, and documentary analysis, organized in the ATLAS.ti software version 24. The results indicate significant challenges, including the lack of understanding of basic principles by professionals, the absence of integration between the team and supervisors, and the lack of clear definition of the training format in current regulations. The results were categorized into: professionals' knowledge of radiological protection; training weaknesses; training strengths; suggestions for training delivery methods and topics in radiological protection. More effective educational strategies, along with precise guidance on the training format, emerge as promising solutions to overcome these challenges.

Nontraumatic Pediatric Head and Neck Emergencies: Resource for On-Call Radiologists.

The vast array of acute nontraumatic diseases encountered in the head and neck of pediatric patients can be intimidating for radiologists in training in a fast-paced emergency setting. Although there is some overlap of pediatric and adult diseases, congenital lesions and developmental variants are much more common in the pediatric population. Furthermore, the relative incidences of numerous infections and neoplasms differ between pediatric and adult populations. Young patients and/or those with developmental delays may have clinical histories that are difficult to elicit or nonspecific presentations, underscoring the importance of imaging in facilitating accurate and timely diagnoses. It is essential that radiologists caring for children be well versed in pediatric nontraumatic head and neck emergency imaging. The authors provide an on-call resource for radiology trainees, organized by anatomic location and highlighting key points, pearls, pitfalls, and mimics of many acute nontraumatic diseases in the pediatric head and neck. ©RSNA, 2024 Supplemental material is available for this article.

Radiomics parameters of epicardial adipose tissue predict mortality in acute pulmonary embolism

BackgroundAccurate prediction of short-term mortality in acute pulmonary embolism (APE) is very important. The aim of the present study was to analyze the prognostic role of radiomics values of epicardial adipose tissue (EAT) in APE.MethodsOverall, 508 patients were included into the study, 209 female (42.1%), mean age, 64.7 ± 14.8 years. 4.6%and 12.4% died (7- and 30-day mortality, respectively). For external validation, a cohort of 186 patients was further analysed. 20.2% and 27.7% died (7- and 30-day mortality, respectively). CTPA was performed at admission for every patient before any previous treatment on multi-slice CT scanners. A trained radiologist, blinded to patient outcomes, semiautomatically segmented the EAT on a dedicated workstation using ImageJ software. Extraction of radiomic features was applied using the pyradiomics library. After correction for correlation among features and feature cleansing by random forest and feature ranking, we implemented feature signatures using 247 features of each patient. In total, 26 feature combinations with different feature class combinations were identified. Patients were randomly assigned to a training and a validation cohort with a ratio of 7:3. We characterized two models (30-day and 7-day mortality). The models incorporate a combination of 13 features of seven different image feature classes.FindingsWe fitted the characterized models to a validation cohort (n = 169) in order to test accuracy of our models. We observed an AUC of 0.776 (CI 0.671–0.881) and an AUC of 0.724 (CI 0.628–0.820) for the prediction of 30-day mortality and 7-day mortality, respectively. The overall percentage of correct prediction in this regard was 88% and 79% in the validation cohorts. Lastly, the AUC in an independent external validation cohort was 0.721 (CI 0.633–0.808) and 0.750 (CI 0.657–0.842), respectively.InterpretationRadiomics parameters of EAT are strongly associated with mortality in patients with APE.Clinical trial numberNot applicable.

A spotter's guide to endovascular endograft recognition

Since the first endovascular aneurysm repair of abdominal aortic aneurysms in the 1980s, there has not only been exponential growth of procedures performed per year, but also rapid proliferation of stent grafts. With the resultant growth in revision and explant procedures on these grafts, we developed this guide to aid trainees in surgery and radiology in identifying these grafts. Our goal with this spotter's guide is to allow the identification of key features from commonly implanted devices radiographically, such as points of fixation, radiopaque markers, and stent patterns. The operative approach for the treatment of endograft complications, including endoleak embolization, aortic cuff extension, laser fenestration, limb extension, and endograft explant is often dramatically impacted by the type of endograft and its individual device characteristics. The intent of this guide is to aid practitioners in identifying endovascular aneurysm repair endografts of all ages, even those that have not been implanted in years.

Assessing the impact of trained Radiologist Assistants in a busy emergency teleradiology practice: a comprehensive evaluation.

This study aims to study the feasibility and usefulness of trained Radiologist Assistants in a busy emergency teleradiology practice. This is a retrospective study over a 21-month period (January 2021 to September 2022). The study analysed archived data from 247118 peer review studies performed by Radiologist Assistants (RAs) out of a total case volume of 828526 and evaluated the rate of discrepancies, the study types commonly noted to have discrepancies, and the severity of errors. These missed findings were brought to the attention of the radiologists for approval and further decision-making. Peer review by RAs was performed on 30% (n = 247118) of the total volume 828526 studies reported, and yielded additional findings including but not limited to fractures (218; 23%), hemorrhage,(94; 10%) pulmonary thromboembolism, (n = 104; 11%), Calculus (n = 75; 8%) lesion (n = 66; 5%), appendicitis(n = 50; 4%) and others. These were brought to the attention of the radiologist, who agreed in 97% (1279 out of 1318) of cases, and communicated the same to the referring facility, with an addended report. Trained RAs can provide value to the peer review program of a busy teleradiology practice and decrease errors. This may be useful to meet the ongoing radiologist shortages.

Sex discrimination, sexual harassment, and sexual assault in UK radiology training: a national survey

Sex discrimination, sexual harassment, and sexual assault in UK radiology training: a national survey